Identification of key genes in allergic rhinitis by bioinformatics analysis

OBJECTIVE: This study aimed to explore the potential molecular mechanism of allergic rhinitis (AR) and identify gene signatures by analyzing microarray data using bioinformatics methods. METHODS: The dataset GSE19187 was used to screen differentially expressed genes (DEGs) between samples from patie...

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Detalles Bibliográficos
Autores principales: Zhang, Yunfei, Huang, Yue, Chen, Wen-xia, Xu, Zheng-min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Pre-Clinical Research Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326637/
https://www.ncbi.nlm.nih.gov/pubmed/34334005
http://dx.doi.org/10.1177/03000605211029521

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326637/
https://www.ncbi.nlm.nih.gov/pubmed/34334005
http://dx.doi.org/10.1177/03000605211029521

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